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InfoQ Homepage Performance & Scalability Content on InfoQ

  • Microsoft Has Moved the Windows Code Repo to Git

    Microsoft has completed the move of their Windows codebase from Source Depot to Git using GVFS.

  • Building a Scalable Minimum Viable Product

    Scalability should be considered when developing a Minimum Viable Product (MVP). An MVP needs to be technically scalable and you need to have a plan on how to scale quickly when your MVP attracts many users and becomes successful. Knowing your possible performance bottlenecks and using common sense while developing your MVP will get you very far, says Erik Duindam, CTO at Unboxd.

  • How GitHub Designed its New Load Balancer

    GitHub has been at work for the last year to develop a new load balancer, the GitHub Load Balancer (GLB), aimed to be able to scale to billions of connections per day running on commodity hardware. GitHub engineers Joe Williams and Theo Julienne explain how GLB was designed.

  • How and Why Etsy Moved to an API-First Architecture

    At QCon New York 2016, Etsy software engineer Stefanie Schirmer told how her company successfully transitioned to an API-first architecture that supports multiple devices, addresses server-side performance problems, and was quickly adopted by development teams.

  • Gil Tene: Understanding Hardware Transactional Memory

    In his presentation "Understanding Hardware Transactional Memory" at QCon New York 2016, Gil Tene introduces hardware transactional memory (HTM). Whereas the concept of HTM is not new, it is now finally available in commodity hardware. The purpose of HTM is to be able to write to multiple addresses in memory in an atomical way so that there cannot be inconsistencies in cooperation other threads.

  • SQL Server Now Offers NoSQL Style Memory-Optimized Tables

    SQL Server 2016 is removing a lot of the limitations on memory-optimized tables including the inability to work with the large documents favored by NoSQL style designs.

  • Google Kick-Starts Git Ketch: A Fault-Tolerant Git Management System

    Although development has only started, Google has announced their first commits of Git Ketch, a multi-master Git management system that replicates information across multiple Git servers for resilience and scalability. The changes are based on JGit, a Java-based Git server, although other Git servers may be part of the multi-master cluster.

  • Using Hunk+Hadoop as a Backend for Splunk

    Splunk can now store archived indexes on Hadoop. At the cost of performance, this offers a 75% reduction in storage costs without losing the ability to search the data. And with the new adapters, Hadoop tools such as Hive and Pig can process the Splunk-formatted data.

  • Performance Guru Kirk Pepperdine Reflects on Results of RebelLabs' Performance Survey

    RebelLabs published their Developer Productivity Report, the result of a survey started in March 2015, where they polled the Java development community on Java performance and performance testing methods. To see how these numbers line up with a real world experience, InfoQ spoke with Kirk Pepperdine, CTO at JClarity and well-known performance expert.

  • Parse Got a Tenfold Reliability Improvement Moving from Ruby to Go

    In order to improve scalability, Parse moved part of their services, including their API, from Ruby on Rails to Go, Charity Majors, Engineer at Parse, recounts. In doing so, both their reliability and deployment times benefited greatly.

  • How NGINX Achieves Performance and Scalability

    Owen Garrett, heads of products at Nginx, Inc., has described on Nginx’s blog which design decisions allow NGINX to provide top-in-class performance and scalability.

  • Surviving Success

    Teams rarely consider success as a mode of failure, but not preparing for exceeding their goals can be just as dangerous as ignoring basic software and infrastructure needs. Mark Simms and Mark Souza discuss anti-patterns they've seen and some of the best ways to architect to win in spite of your own success.

  • Google Offers Bigtable in the Cloud

    Google is making available to customers Cloud Bigtable, their own database used for more than a decade for services such as Search, GMail, Maps or YouTube. While they are not open sourcing Bigtable as they did with other products, the new cloud service is accessible through an open source interface, the Apache HBase 1.0.1 API.

  • Peter Lawrey Describes Petabyte JVMs

    It’s not unusual in financial service systems to have problems that requires significant vertical, as opposed to horizontal, scaling. During his talk at QCon London Peter Lawrey described the particular problems that occur when you scale a Java application beyond 32GB.

  • Alex Bordei on Scaling NoSQL Databases

    Network performance, virtualization and testing are some of the considerations to address performance and scalability issues with NoSQL databases. Alex Bordei wrote about scaling NoSQL databases and tips for increasing performance when using these data stores.

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